Air-Gapped AI for Energy, Utilities & Mining

Operational technology data — SCADA telemetry, network topology, reserve estimates, trading positions — is among the most strategically sensitive data any company holds. Sending it to a cloud AI provider creates unacceptable competitive intelligence and national-security risks. AirgapAI runs entirely on-prem, including in fully air-gapped OT networks, so AI assistance never requires data egress.

Yes. AirgapAI is designed to run on-device — laptops, ruggedized field tablets, edge servers — without any internet connection. Crews can query maintenance manuals, safety procedures, and historical reports at sites with intermittent or no connectivity.

AirgapAI keeps all prompts, responses, and reference data inside your compliance perimeter. Complete audit trails support NERC CIP cyber-asset documentation, FERC reporting, and EPA/ESG submission requirements. No third-party cloud is involved in the AI workflow.

Yes. Through Blockify and IdeaBlocks, you can ingest proprietary documents, models, and structured data into a local knowledge layer that the AI references — with 78x better accuracy than generic RAG. Nothing is uploaded; everything stays on your infrastructure.

AirgapAI uses perpetual licensing at $697 per user with no usage-based fees. For an enterprise with thousands of field workers and analysts, this is typically 90%+ less than equivalent cloud AI subscription spend over four years. No surprise bills from heavy query volumes.

Utilities use AI for asset health and predictive maintenance across generation, transmission, and distribution equipment; for outage prediction, crew dispatch, and restoration procedure lookup; and for customer service, billing, and regulatory communications. The models read inspection histories, work orders, procedures, and SCADA telemetry, which is why utilities run them on their own infrastructure rather than through a cloud service.

AI in oil and gas is applied across upstream subsurface interpretation and offset well analysis, drilling and production optimization, midstream pipeline integrity management, and the safety, permitting, and emissions documentation every operation produces. Seismic surveys, well logs, and reserve estimates are the asset itself, so operators keep the model and the data on their own hardware — including at rigs and platforms with no reliable connectivity.

Private AI means the model, the prompts, and the reference documents all stay on infrastructure the operator controls. AirgapAI runs on a laptop, an edge server, or a workstation inside the OT segment, with no API call to an outside service. The practical test is whether AI still works with the internet connection pulled — with AirgapAI it does.

Yes. NIST SP 800-82, the guide to operational technology security, is built around keeping the control network segmented from external networks. AirgapAI installs inside the segment and never needs an outbound connection, so the boundary stays closed. Cloud AI assistants require that boundary to be opened, which is why most control-room deployments start air-gapped.